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xinren08: 金币+20, ★★★★★最佳答案, 非常谢感谢了。 2016-03-28 15:34:05
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ccession number:
20160601888937
Title: A new generalized alternating direction method of multipliers for separable convex programming and its applications to image deblurring with wavelets
Authors:    Sun, Hongchun1 Email author sunhc68@163.com; Sun, Min2 Email author ziyouxiaodou@163.com; Zhou, Houchun1 Email author zhouhouchun@163.com
Author affiliation: 1 School of Science Linyi University, Shuangling Street, Linyi, China
2 School of Mathematics and Statistics Zaozhuang University, Beian Road, Zaozhuang, China
Source title: ICIC Express Letters
Abbreviated source title: ICIC Express Lett.
Volume: 10
Issue: 2
Issue date: February 1, 2016
Publication year: 2016
Pages: 271-277
Language: English
ISSN:    1881803X
Document type: Journal article (JA)
Publisher: ICIC Express Letters Office
Abstract: The classical alternating direction method of multipliers (ADMM), which is a special case of the famous proximal point algorithm, is well studied in the literature. In this paper, we propose a new generalized ADMM for separable convex programming, which is a modification of the classical ADMM by introducing an acceleration factor, and includes the latter as a special case. We prove the global convergence of the proposed method under some standard assumptions. Numerical experiments about image deblurring with wavelets are included to illustrate the efficiency of the new method. © 2016, ICIC Express Letters ICIC International.
Number of references: 7
Main heading:    Image enhancement
Controlled terms:    Algorithms - Convex optimization - Numerical methods - Variational techniques
Uncontrolled terms:    Acceleration factors - Alternating direction method of multipliers - Global conver-gence - Image deblurring - Numerical experiments - Proximal point algorithm - Standard assumptions - Variational inequalities
Classification code:    921.2 Calculus - 921.6 Numerical Methods
Database: Compendex
Compilation and indexing terms, ©

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